Multi-view stereo (MVS) aims to recover dense 3D geometry from multiple images captured from different viewpoints, with calibrated cameras [1]}. It is a fundamental problem in computer vision and has wide applications ranging from autonomous driving [2]}, [3]}, remote sensing [4]}, augmented reality [5]}, to robotics [6]}.
Following a representative MVS method, i.e., MVSNet [7]}, many learning based methods [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]} have been proposed, achieving great improvements against their traditional counterparts [15]}, [16]}, [17]}, [18]}, in terms of the accuracy or efficiency.
